Agent-based models

Agent-based models are computational tools that simulate the actions and interactions of individual entities, called agents, to understand how complex systems behave. Each agent follows specific rules and can adapt based on its environment and interactions with other agents. By modeling many agents simultaneously, these models reveal how individual behaviors lead to overall system patterns. They are useful in diverse fields like economics, ecology, and social sciences for exploring scenarios, predicting outcomes, and improving decision-making without physical experiments.